Microsoft Research

Speakers: Jiang Bian, Principal Research Manager, Microsoft Research Asia Tie-Yan Liu, Assistant Managing Director, Microsoft Research Asia Deep reinforcement learning has achieved remarkable

Speakers: Raluca Georgescu, Research Software Engineer II, Microsoft Research Cambridge Ida Momennejad, Senior Researcher, Microsoft Research NYC On the path to developing agents that learn

Speaker: John Langford, Partner Research Manager, Microsoft Research NYC Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit

Speaker: Shamsi Iqbal, Principal Researcher, Microsoft Research Redmond Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit

Speaker: Harsha Simhadri, Principal Researcher, Microsoft Research India Building deep learning-based search and recommendation systems at internet scale requires a complete redesign of the search

Speaker: Jaime Teevan, Chief Scientist, Microsoft Research Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit

Speaker: Marti Hearst, Professor, UC Berkeley Natural language processing (NLP) has undergone head-spinning advances over the last 5–10 years.

Speaker: Alex Williams, Assistant Professor, University of Tennessee Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit

Speakers: Vipindeep Vangala, Principal Research Manager & Architect, Microsoft Research India Abhishek Arun, Principal Science Manager, Microsoft Research In this digital age, enterprise users use

Speaker: Julia Kiseleva, Senior Researcher, Microsoft Research Redmond Human intelligence has the remarkable ability to quickly adapt to new tasks and environments.

Speaker: Susan Dumais, Technical Fellow & Director of the Microsoft Research Labs in New England, New York City and Montreal, Microsoft Search and recommendation is core to many Microsoft

Speaker: Arun Iyer, Principal Researcher, Microsoft Research India Recent research has shown that representations learned from user-user and user-item graphs can be used to improve recommendation

Speaker: Deepak Saini, Research Software Development Engineer, Microsoft Research India Extreme classification provides a formulation for large-scale ranking and recommendation problems by treating

Speaker: Tristan Naumann, Principal Researcher, Microsoft Research Information overload is a prevalent challenge in many high-value domains.

Speakers: Jason Li, Partner Group Engineering Manager, Microsoft Knut Risvik, Distinguished Engineer, Microsoft The Microsoft Bing search engine combines classic information retrieval and dense

Speaker: Subhojit Som, Principal Applied Science Manager, Microsoft Search engines have evolved over time, from initially providing the most relevant URLs to user queries to providing information

Speaker: Jonathan Larson, Principal Data Architect, Microsoft Research Redmond Recent developments in network machine learning have opened up new opportunities in the realm of organizational

Speaker: Alec Berntson, Principal Engineering Manager, Microsoft Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private

Speaker: Qi Chen, Senior Researcher, Microsoft Research Asia Current state-of-the-art vector approximate nearest neighbor search (ANNS) libraries mainly focus on how to do fast high-recall search

Speaker: Gloria Mark, Professor, University of California, Irvine Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit

Speakers: Siddharth Suri, Senior Principal Researcher, Microsoft Research Redmond Nick Bloom, Professor, Stanford University Jennifer Neville, Senior Principal Researcher, Microsoft Research Redmond

Speakers: Jaime Teevan, Chief Scientist, Microsoft Research Redmond Shamsi Iqbal, Principal Researcher, Microsoft Research Redmond Longqi Yang, Senior Applied Research Scientist, Microsoft Research

Speaker: Danqi Chen, Assistant Professor, Princeton University DensePhrases is an extractive phrase-search tool based on natural language input that achieves dense retrieval of billion-scale

Speaker: Jennifer Neville, Senior Principal Researcher, Microsoft Research Redmond Data trails, recording the way that people interact with content and with each other in an enterprise, are a

Speaker: Longqi Yang, Senior Applied Research Scientist, Microsoft Shamsi Iqbal, Principal Researcher, Microsoft Research Jaime Teevan, Chief Scientist, Microsoft Research Our experience in the

Speakers: Jaime Teevan, Chief Scientist, Microsoft Denae Ford Robinson, Senior Researcher, Microsoft Research Redmond Jenna Butler, Senior Applied Research Scientist, Microsoft Brian Houck

Speaker: Yaming Yang, RSDE2, Microsoft Research Asia To alleviate data sparsity and cold-start problems of traditional recommender systems (RSs), incorporating knowledge graphs (KGs) to supplement

Speaker: Stephen Voida, Assistant Professor, University of Colorado Boulder Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit

00:00 Tutorial: ElectionGuard: Enabling voters to verify election integrity Speaker: Josh Benaloh, Senior Principal Cryptographer, Microsoft Research Redmond This tutorial will describe

Speakers: Sean Rintel, Principal Researcher, Microsoft Research Cambridge Shiraz Cupala, Partner Group Manager, Microsoft Abigail Sellen, Deputy Director, Microsoft Research Cambridge John Tang